Triple
T916549
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Switzerland |
E19783
|
entity |
| Predicate | majorCity |
P316
|
FINISHED |
| Object | Sion |
E14340
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Sion | Statement: [Western Switzerland, majorCity, Sion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sion Context triple: [Western Switzerland, majorCity, Sion]
-
A.
Sion
chosen
Sion is a historic Swiss town in the canton of Valais, known for its hilltop castles, vineyards, and role as a regional cultural and administrative center.
-
B.
Sauvestre
Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
-
C.
Gori
Gori is a city in central Georgia best known as the birthplace of Soviet leader Joseph Stalin.
-
D.
Rhayader
Rhayader is a small market town in Powys, mid Wales, known as a gateway to the Elan Valley reservoirs and surrounding Cambrian Mountains.
-
E.
Mauregard
Mauregard is a small commune in the Seine-et-Marne department of the Île-de-France region in north-central France, situated near Paris Charles de Gaulle Airport.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4939f91a08190ba68c2c81eab90fe |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4b2f8e26c81908b768d3e9e67689d |
completed | March 1, 2026, 9:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ac1cd3444881908615a7962b4eef67 |
completed | March 7, 2026, 12:40 p.m. |
Created at: March 1, 2026, 7:39 p.m.